Inflammaging is driven by upregulation of innate immune receptors and systemic interferon signaling and is ameliorated by dietary restriction.

Aging is characterized by a chronic low-grade inflammation known as inflammaging in multiple tissues, representing a risk factor for age-related diseases. Dietary restriction (DR) is the best-known non-invasive method to ameliorate aging in many organisms. However, the molecular mechanism and the signaling pathways that drive inflammaging across different tissues and how they are modulated by DR are not yet understood. Here we identify a multi-tissue gene network regulating inflammaging. This network is characterized by chromatin opening and upregulation in the transcription of innate immune system receptors and by activation of interferon signaling through interferon regulatory factors, inflammatory cytokines, and Stat1-mediated transcription. DR ameliorates aging-induced alterations of chromatin accessibility and RNA transcription of the inflammaging gene network while failing to rescue those alterations on the rest of the genome. Our results present a comprehensive understanding of the molecular network regulating inflammation in aging and DR and provide anti-inflammaging therapeutic targets.

Structure and function of mammalian DNA methyltransferases.

DNA methylation plays an important role in epigenetic signalling, having an impact on gene regulation, chromatin structure, development and disease. Here, we review the structures and functions of the mammalian DNA methyltransferases Dnmt1, Dnmt3a and Dnmt3b, including their domain structures, catalytic mechanisms, localisation, regulation, post-translational modifications and interaction with chromatin and other proteins, summarising data obtained in genetic, cell biology and enzymatic studies. We focus on the question of how the molecular and enzymatic properties of these enzymes are connected to the dynamics of DNA methylation patterns and to the roles the enzymes play in the processes of de novo and maintenance DNA methylation. Recent enzymatic and genome-wide methylome data have led to a new model of genomic DNA methylation patterns based on the preservation of average levels of DNA methylation in certain regions, rather than the methylation states of individual CG sites.